Title :
Automatically recommending healthy living programs to patients with chronic diseases through hybrid content-based and collaborative filtering
Author :
Yizhou Zang ; Yuan An ; Hu, Xiaohua Tony
Author_Institution :
Coll. of Comput. & Inf., Drexel Univ., Philadelphia, PA, USA
Abstract :
In this research, we develop a hybrid recommendation system for healthy living programs to patients with chronic diseases. Our experiments indicate that our model compared favorably against other real-world recommendation applications in terms of accuracy. We also demonstrated that the proposed hybrid algorithm performed better than traditional CF in terms of error rate, precision and recall.
Keywords :
assisted living; collaborative filtering; content-based retrieval; patient care; patient monitoring; chronic diseases; chronically-ill patients; collaborative filtering error rate; collaborative filtering precision; collaborative filtering recall; healthy living programs; hybdrid recommendation system; hybrid algorithm; hybrid content-based filtering error rate; hybrid content-based filtering precision; hybrid content-based filtering recall; hybrid recommendation model; real-world recommendation applications; traditional collaborative filtering; Accuracy; Collaboration; Diseases; Filtering; Measurement; Standards; EMR; Healthy Living Program; chronic dieseases; collaborative filtering; hybrid;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999224
